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An economist reflects on the unintended consequences of deregulating prediction markets, highlighting how they have become dominated by sports gambling and warning about asymmetric information problems.
This paper extends Frictive Policy Optimization (FPO) to handle perceptual asymmetry in dialogue, where participants hold asymmetric partial information. It demonstrates that evaluating friction from each participant's perspective is more effective than omniscient access, and proposes annotation refinements for grounding states.